Evidence map›Paper›PMID 36046752›Full record

ReviewExploration of targeted anti-tumor therapy2021

The evolving role and utility of off-label drug use in multiple myeloma.

James H Stoeckle, Faith E Davies, Louis Williams, Eileen M Boyle, Gareth J Morgan

Abstract readReview
In one paragraph

Review in Exploration of targeted anti-tumor therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

James H StoecklePerlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA.ORCID https://orcid.org/0000-0003-3377-5120
Faith E DaviesPerlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA.ORCID https://orcid.org/0000-0002-3971-2393
Louis WilliamsPerlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA.ORCID https://orcid.org/0000-0001-6680-4608
Eileen M BoylePerlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA.ORCID https://orcid.org/0000-0001-8791-1744
Gareth J MorganPerlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA.ORCID https://orcid.org/0000-0002-4271-6360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment landscape for multiple myeloma (MM) has dramatically changed over the last three decades, moving from no US Food and Drug Administration approvals and two active drug classes to over 19 drug approvals and at least eight different active classes. The advances seen in MM therapy have relied on both a structured approach to obtaining new labels and cautious off-label drug use. Although there are country and regional differences in drug approval processes, many of the basic principles behind off-label drug use in MM can be summarized into four main categories: 1) use of a therapy prior to the current approval regulations; 2) widespread use of a therapy following the release of promising clinical trial results but prior to drug approval; 3) use of a cheap therapy supported by clinical safety and efficacy data but without commercial backing; and 4) niche therapies for small well-defined patient populations where large clinical trials with sufficient power may be difficult to perform. This review takes a historical approach to discuss how off-label drug use has helped to shape the current treatment approach for MM.

Indexed as

drug developmentMultiple myelomaoff-labelorphan drugsrelapsed refractorythalidomide

Identifiers

PMID36046752
PMCPMC9400732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.